AI QA Automation Engineer
Posted 12 Oct 2026
Advertised as “ Senior AI QA Automation Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Remote
No salary listed for this role.
Field of studyComputer Science, Information Systems, Software Engineering (or related)
Study levelBachelor's
Job Title: Senior AI QA Automation Engineer
Key Skills: Python, AI Testing, Test Automation, Playwright, Selenium, API Testing, Azure AI Foundry Evaluations, RAG Evaluation, Prompt Testing, CI/CD, Monitoring
Experience: 5+ YOE.
Location: Costa Rica, Peru, Colombia, Bolivia.
Mode: Remote
We at Coforge are hiring Senior AI QA Automation Engineer (#006fu00000bWsOCAA0-4) with the following skill set.
Key Responsibilities
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Build automated evaluation frameworks for AI agents, RAG solutions, prompts, tools, workflows, and model outputs, including benchmark datasets, golden responses, regression suites, evaluation metrics, and release thresholds.
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Test AI-specific behaviors including hallucinations, grounding, citation accuracy, prompt injection, tool selection, and multi-agent coordination.
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Develop agent-powered QA solutions for test-case generation, API and workflow validation, and intelligent UAT, while building UI, API, integration, performance, and end-to-end automation.
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Implement CI/CD quality gates and continuously monitor production AI quality, drift, reliability, and recurring failure patterns.
Required Skills & Qualifications
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5+ years of experience in Software Quality Engineering, Test Automation, or Reliability Engineering.
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Strong Python skills with experience building reusable automated testing frameworks.
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Hands-on experience with Playwright and/or Selenium.
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Strong experience with API, UI, integration, regression, end-to-end, and CI/CD-based test automation.
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Experience with Azure AI Foundry Evaluations, RAG evaluation, and prompt testing.
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Experience defining evaluation metrics, benchmark datasets, regression suites, and measurable quality thresholds.
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Knowledge of AI quality concepts such as hallucination testing, grounding, citation accuracy, prompt injection, and agent behavior validation.
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Experience implementing CI/CD quality gates and production monitoring.
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Ability to translate business requirements, workflows, and AI behaviors into measurable quality criteria.
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Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
Preferred Skills: